This paper is in the following e-collection/theme issue:

Big Data Analytics for Elder Care (12) Artificial Intelligence (715) Wearable Devices and Sensors (676) Assisted Living for the Elderly and Nursing Home Care (118)

Published on in Vol 3 , No 2 (2020) :Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19554, first published .
Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study

Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study

Artificial Intelligence–Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study

Authors of this article:

Gerald Wilmink 1 Author Orcid Image ;   Katherine Dupey 1 Author Orcid Image ;   Schon Alkire 2 Author Orcid Image ;   Jeffrey Grote 1 Author Orcid Image ;   Gregory Zobel 1 Author Orcid Image ;   Howard M Fillit 3, 4 Author Orcid Image ;   Satish Movva 1 Author Orcid Image
Article Authors Cited by (11) Tweetations (49) Metrics

Journals

  1. Wilmink G, Summer I, Marsyla D, Sukhu S, Grote J, Zobel G, Fillit H, Movva S. Real-Time Digital Contact Tracing: Development of a System to Control COVID-19 Outbreaks in Nursing Homes and Long-Term Care Facilities. JMIR Public Health and Surveillance 2020;6(3):e20828 View
  2. Brönneke J, Müller J, Mouratis K, Hagen J, Stern A. Regulatory, Legal, and Market Aspects of Smart Wearables for Cardiac Monitoring. Sensors 2021;21(14):4937 View
  3. Bhatt P, Liu J, Gong Y, Wang J, Guo Y. Emerging Artificial Intelligence–Empowered mHealth: Scoping Review. JMIR mHealth and uHealth 2022;10(6):e35053 View
  4. An R, Shen J, Xiao Y. Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies. Journal of Medical Internet Research 2022;24(12):e40589 View
  5. Mukhopadhyay S, Suryadevara N, Nag A. Wearable Sensors for Healthcare: Fabrication to Application. Sensors 2022;22(14):5137 View
  6. Thapa R, Garikipati A, Shokouhi S, Hurtado M, Barnes G, Hoffman J, Calvert J, Katzmann L, Mao Q, Das R. Predicting Falls in Long-term Care Facilities: Machine Learning Study. JMIR Aging 2022;5(2):e35373 View
  7. Miyazaki Y, Hirano K, Kitamura K, Nishida Y. Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space. Sensors 2022;22(3):1178 View
  8. Loveys K, Prina M, Axford C, Domènec Ò, Weng W, Broadbent E, Pujari S, Jang H, Han Z, Thiyagarajan J. Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies. The Lancet Healthy Longevity 2022;3(4):e286 View
  9. Valk-Draad M, Bohnet-Joschko S. Nursing Home-Sensitive Hospitalizations and the Relevance of Telemedicine: A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(19):12944 View
  10. Aarden J, Major M, Aghina C, Esch M, Buurman B, Engelbert R, Schaaf M, Regnaux J. Recommendations for an exercise intervention and core outcome set for older patients after hospital discharge: Results of an international Delphi study. PLOS ONE 2023;18(3):e0283545 View
  11. Huang Y, Roy N, Dhar E, Upadhyay U, Kabir M, Uddin M, Tseng C, Syed-Abdul S. Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information. Cancers 2023;15(8):2232 View